Check-It: A plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
Date
2019Author
Paschalides, DemetrisKornilakis, Alexandros
Christodoulou, Chrysovalantis
Andreou, Rafael
Pallis, George
Dikaiakos, Marios
Markatos, Evangelos
ISBN
978-1-4503-6934-3Publisher
Association for Computing MachineryPlace of publication
Thessaloniki, GreeceSource
IEEE/WIC/ACM International Conference on Web IntelligenceGoogle Scholar check
Metadata
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Over the past few years, we have been witnessing the rise of misinformation on the Internet. People fall victims of fake news continuously, and contribute to their propagation knowingly or inadvertently. Many recent efforts seek to reduce the damage caused by fake news by identifying them automatically with artificial intelligence techniques, using signals from domain flag-lists, online social networks, etc. In this work, we present Check-It, a system that combines a variety of signals into a pipeline for fake news identification. Check-It is developed as a web browser plugin with the objective of efficient and timely fake news detection, while respecting user privacy. In this paper, we present the design, implementation and performance evaluation of Check-It. Experimental results show that it outperforms state-of-the-art methods on commonly-used datasets.